Rongbing Huang, Muhammad Farhan Hanif, Muhammad Faisal Hanif, Muhammad Kamran Siddiqui, Tayyaba Noor, Douhadji Abalo
{"title":"通过曲线拟合模型分析氟化铜(II)网络的拓扑指标和形成热","authors":"Rongbing Huang, Muhammad Farhan Hanif, Muhammad Faisal Hanif, Muhammad Kamran Siddiqui, Tayyaba Noor, Douhadji Abalo","doi":"10.1080/08839514.2024.2327235","DOIUrl":null,"url":null,"abstract":"One of the most important fields in current materials research is the examination of materials through the prism of topological indices. An extensive statistical investigation of topological indice...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models\",\"authors\":\"Rongbing Huang, Muhammad Farhan Hanif, Muhammad Faisal Hanif, Muhammad Kamran Siddiqui, Tayyaba Noor, Douhadji Abalo\",\"doi\":\"10.1080/08839514.2024.2327235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the most important fields in current materials research is the examination of materials through the prism of topological indices. An extensive statistical investigation of topological indice...\",\"PeriodicalId\":8260,\"journal\":{\"name\":\"Applied Artificial Intelligence\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Artificial Intelligence\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1080/08839514.2024.2327235\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Artificial Intelligence","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/08839514.2024.2327235","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models
One of the most important fields in current materials research is the examination of materials through the prism of topological indices. An extensive statistical investigation of topological indice...
期刊介绍:
Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.